Sensor independent adjacency correction algorithm for coastal and inland water systems

被引：53
作者：
Kiselev, Viacheslav [1 ]
Bulgarelli, Barbara [2 ]
Heege, Thomas [1 ]
机构：
[1] EOMAP GmbH & Co KG, D-82229 Seefeld, Germany
[2] European Commiss, Joint Res Ctr, I-21027 Ispra, VA, Italy
来源：
REMOTE SENSING OF ENVIRONMENT | 2015年 / 157卷
关键词：
Satellite image; Adjacency correction; Point spread function; Searchlight problem; RADIATIVE-TRANSFER; SIMULATION;
D O I：
10.1016/j.rse.2014.07.025
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The presented adjacency correction algorithm is based on the use of the point spread function (PSF) which allows calculating the contribution of reflections from the nearby pixels to the apparent radiance of the target. The analytical expression of the PSF for an arbitrary stratified atmosphere is obtained in the approximation of primary scattering, whereas the full equation of radiative transfer is used for the estimation of the radiance reflected from the surface. The algorithm is sensor independent and can be applied for processing images of water basins with arbitrary shape of the shore line and under different geometries of observation. The program using this algorithm is included in Modular Inversion Program - MIP (Heege et al., 2014) for processing of satellite images on a routine basis. Examples of processing results are presented in the paper. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码：85 / 95
页数：11
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